Dr. Mnerh Alqahtani
Biography:
Dr. Mnerh Alqahtani earned her PhD in applied mathematics from the University of Warwick, United Kingdom. She obtained her BSc and MSc in mathematics from King Faisal University, Saudi Arabia. Currently, she holds the position of assistant professor at the University of Hafr Albatin (UHB). Dr. Alqahtani is currently pursuing IBK-postdoctoral research at MIT Mechanical Engineering at the SAND lab, collaborating with PI Prof. Themistoklis Sapsis.
MIT Fellowship Research Abstract:
Dr. Alqahtani is interested in stochastic dynamical systems and their real-world uses. Specifically, she will utilize and employ reinforcement learning, a machine learning technique, to optimally control the dynamical system under consideration. This approach aims to either minimize potential risks or achieve a desirable outcome. The specific application she has in mind is public health resource optimization. The objective of a decision-making problem within treatment programs is to determine the best possible value or outcome based on the initial circumstances.
Professional Affiliations:
- London Mathematical Society (LMS)
- Society for Industrial and Applied Mathematics (SIAM)
Link to Online CV
Honors/Awards
- MIT Ibn Khaldun Fellowship for Saudi Arabian women scientists (Postdoctoral), 2024
- Excellence Award from UKSACB for the scientific achievements during 20/2021
- Postgraduate Award from The University of Warwick in Transferable Skills in Science, in Dec 2022
- Prize Winner at BMC-BAMC GLASGOW 2021 for poster titled "Extreme Events of Lagrangian Model of Passive Scalar Turbulence via Large Deviation Theory" in April 2021
- SIAM Student Travel Award from SIAM Conference on Uncertainty Quantification (UQ22), April 12-15, 2022